DNA methylation in blood as a mediator of the association of mid-childhood body mass index with cardio-metabolic risk score in early adolescence

Abstract Background Few studies have examined the independent and combined relationships of body mass index (BMI) peak and rebound with adiposity, insulin resistance and metabolic risk later in life. We used data from Project Viva, a well-characterized birth cohort from Boston with repeated measures of BMI, to help fill this gap. Methods Among 1681 children with BMI data from birth to mid childhood, we fitted individual BMI trajectories using mixed-effects models with natural cubic splines and estimated age, and magnitude of BMI, at peak (in infancy) and rebound (in early childhood). We obtained cardiometabolic measures of the children in early adolescence (median 12.9 years) and analysed their associations with the BMI parameters. Results After adjusting for potential confounders, age and magnitude at infancy BMI peak were associated with greater adolescent adiposity, and earlier adiposity rebound was strongly associated with greater adiposity, insulin resistance and metabolic risk score independently of BMI peak. Children with a normal timing of BMI peak plus early rebound had an adverse cardiometabolic profile, characterized by higher fat mass index {β 2.2 kg/m2 [95% confidence interval (CI) 1.6, 2.9]}, trunk fat mass index [1.1 kg/m2 (0.8, 1.5)], insulin resistance [0.2 units (0.04, 0.4)] and metabolic risk score [0.4 units (0.2, 0.5)] compared with children with a normal BMI peak and a normal rebound pattern. Children without a BMI peak (no decline in BMI after the rise in infancy) also had adverse adolescent metabolic profiles. Conclusions Early age at BMI rebound is a strong risk factor for cardiometabolic risk, independent of BMI peak. Children with a normal peak-early rebound pattern, or without any BMI decline following infancy, are at greatest risk of adverse cardiometabolic profile in adolescence. Routine monitoring of BMI may help to identify children who are at greatest risk of developing an adverse cardiometabolic profile in later life and who may be targeted for preventive interventions.

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Metabolite Profiles of the Relationship between Body Mass Index (BMI) Milestones and Metabolic Risk during Early Adolescence

Metabolites ◽

10.3390/metabo10080316 ◽

2020 ◽

Vol 10 (8) ◽

pp. 316

Author(s):

Wei Perng ◽

Mohammad L. Rahman ◽

Izzuddin M. Aris ◽

Gregory Michelotti ◽

Joanne E. Sordillo ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Early Adolescence ◽

Early Growth ◽

Metabolic Risk ◽

Z Score ◽

Sex Steroid Hormone ◽

Metabolite Profiles ◽

Relationship Of ◽

The Relationship

Early growth is associated with future metabolic risk; however, little is known of the underlying biological pathways. In this prospective study of 249 boys and 227 girls, we sought to identify sex-specific metabolite profiles that mark the relationship between age and magnitude of the infancy body mass index (BMI) peak, and the childhood BMI rebound with a metabolic syndrome z-score (MetS z-score) during early adolescence (median age 12.8 years). Thirteen consensus metabolite networks were generated between male and female adolescents using weighted correlation network analysis. In girls, none of the networks were related to BMI milestones after false discovery rate (FDR) correction at 5%. In boys, age and/or magnitude of BMI at rebound were associated with three metabolite eigenvector (ME) networks comprising androgen hormones (ME7), lysophospholipids (ME8), and diacylglycerols (ME11) after FDR correction. These networks were also associated with MetS z-score in boys after accounting for age and race/ethnicity: ME7 (1.43 [95% CI: 0.52, 2.34] units higher MetS z-score per 1 unit of ME7), ME8 (−1.01 [95% CI: −1.96, −0.07]), and ME11 (2.88 [95% CI: 2.06, 3.70]). These findings suggest that alterations in sex steroid hormone and lipid metabolism are involved in the relationship of early growth with future metabolic risk in males.

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Age at menarche and childhood body mass index as predictors of cardio-metabolic risk in young adulthood: A prospective cohort study

PLoS ONE ◽

10.1371/journal.pone.0209355 ◽

2018 ◽

Vol 13 (12) ◽

pp. e0209355 ◽

Cited By ~ 3

Author(s):

Chi Le-Ha ◽

Lawrence J. Beilin ◽

Sally Burrows ◽

Rae-Chi Huang ◽

Martha Hickey ◽

...

Keyword(s):

Body Mass Index ◽

Cohort Study ◽

Body Mass ◽

Young Adulthood ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Age At Menarche ◽

Metabolic Risk ◽

Childhood Body Mass Index

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Attention Deficit Disorder, Stimulant Use, and Childhood Body Mass Index Trajectory

PEDIATRICS ◽

10.1542/peds.2013-3427d ◽

2014 ◽

Vol 133 (4) ◽

pp. X12-X12

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Attention Deficit ◽

Attention Deficit Disorder ◽

Stimulant Use ◽

Childhood Body Mass Index

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Faculty Opinions recommendation of Association of birth weight, childhood body mass index, and height with risk of hidradenitis suppurativa.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.737847300.793577130 ◽

2020 ◽

Author(s):

Iltefat Hamzavi

Keyword(s):

Body Mass Index ◽

Birth Weight ◽

Body Mass ◽

Hidradenitis Suppurativa ◽

Childhood Body Mass Index

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Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094667 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4667

Author(s):

Meizi Wang ◽

Jianhua Ying ◽

Ukadike Chris Ugbolue ◽

Duncan S. Buchan ◽

Yaodong Gu ◽

...

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

South Asian ◽

Metabolic Risk Factors ◽

Individual Risk ◽

Metabolic Risk ◽

Asian Adolescents ◽

Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

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Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

Journal of Primary Care & Community Health ◽

10.1177/21501327211018559 ◽

2021 ◽

Vol 12 ◽

pp. 215013272110185

Author(s):

Sanjeev Nanda ◽

Audry S. Chacin Suarez ◽

Loren Toussaint ◽

Ann Vincent ◽

Karen M. Fischer ◽

...

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Hospital Admission ◽

Body Mass ◽

Risk Score ◽

The Body ◽

Risk Scores ◽

Nasopharyngeal Swab ◽

Morbidity Score ◽

The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

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